Reading training examples...done
Training set properties: 49 features, 180 rankings, 15555 examples
NOTE: Adjusted stopping criterion relative to maximum loss: eps=1.003494
Iter 1: .........*(NumConst=1, SV=1, CEps=1003.4944, QPEps=0.0000)
Iter 2: .........*(NumConst=2, SV=2, CEps=1697.7644, QPEps=0.0004)
Iter 3: .........*(NumConst=3, SV=3, CEps=1642.7705, QPEps=0.0008)
Iter 4: .........*(NumConst=4, SV=4, CEps=1611.1891, QPEps=0.0101)
Iter 5: .........*(NumConst=5, SV=4, CEps=1262.9531, QPEps=0.0047)
Iter 6: .........*(NumConst=6, SV=5, CEps=1137.2046, QPEps=0.0132)
Iter 7: .........*(NumConst=7, SV=5, CEps=1659.8056, QPEps=1.2866)
Iter 8: .........*(NumConst=8, SV=6, CEps=1331.4446, QPEps=17.9560)
Iter 9: .........*(NumConst=9, SV=6, CEps=1740.3706, QPEps=49.6079)
Iter 10: .........*(NumConst=10, SV=7, CEps=1089.8979, QPEps=49.3206)
Iter 11: .........*(NumConst=11, SV=7, CEps=883.7683, QPEps=3.1661)
Iter 12: .........*(NumConst=12, SV=8, CEps=464.4967, QPEps=4.8614)
Iter 13: .........*(NumConst=13, SV=9, CEps=512.1119, QPEps=0.0226)
Iter 14: .........*(NumConst=14, SV=8, CEps=330.0419, QPEps=36.7984)
Iter 15: .........*(NumConst=15, SV=8, CEps=295.0993, QPEps=0.0043)
Iter 16: .........*(NumConst=16, SV=9, CEps=173.9956, QPEps=0.0028)
Iter 17: .........*(NumConst=17, SV=8, CEps=356.2034, QPEps=0.0046)
Iter 18: .........*(NumConst=18, SV=9, CEps=371.4014, QPEps=0.0013)
Iter 19: .........*(NumConst=19, SV=10, CEps=235.2937, QPEps=0.0003)
Iter 20: .........*(NumConst=20, SV=9, CEps=260.2150, QPEps=0.0013)
Iter 21: .........*(NumConst=21, SV=9, CEps=193.3711, QPEps=0.0020)
Iter 22: .........*(NumConst=22, SV=10, CEps=202.9551, QPEps=18.8221)
Iter 23: .........*(NumConst=23, SV=10, CEps=230.2992, QPEps=0.0008)
Iter 24: .........*(NumConst=24, SV=12, CEps=123.9699, QPEps=31.2065)
Iter 25: .........*(NumConst=25, SV=12, CEps=119.4457, QPEps=8.4913)
Iter 26: .........*(NumConst=26, SV=11, CEps=116.8983, QPEps=0.0011)
Iter 27: .........*(NumConst=27, SV=11, CEps=108.2897, QPEps=0.0005)
Iter 28: .........*(NumConst=28, SV=12, CEps=163.2593, QPEps=17.2477)
Iter 29: .........*(NumConst=29, SV=11, CEps=101.2300, QPEps=15.5918)
Iter 30: .........*(NumConst=30, SV=12, CEps=76.6110, QPEps=18.2135)
Iter 31: .........*(NumConst=31, SV=11, CEps=100.9128, QPEps=0.0003)
Iter 32: .........*(NumConst=32, SV=11, CEps=77.9695, QPEps=26.1142)
Iter 33: .........*(NumConst=33, SV=11, CEps=72.9049, QPEps=30.3824)
Iter 34: .........*(NumConst=34, SV=11, CEps=54.0831, QPEps=9.8396)
Iter 35: .........*(NumConst=35, SV=13, CEps=89.5353, QPEps=25.3235)
Iter 36: .........*(NumConst=36, SV=13, CEps=90.4938, QPEps=5.1631)
Iter 37: .........*(NumConst=37, SV=12, CEps=59.8392, QPEps=13.5624)
Iter 38: .........*(NumConst=38, SV=14, CEps=49.8839, QPEps=22.0528)
Iter 39: .........*(NumConst=39, SV=12, CEps=49.0088, QPEps=11.1297)
Iter 40: .........*(NumConst=40, SV=12, CEps=44.2810, QPEps=0.3669)
Iter 41: .........*(NumConst=41, SV=11, CEps=41.5456, QPEps=13.3556)
Iter 42: .........*(NumConst=42, SV=13, CEps=40.1343, QPEps=15.7705)
Iter 43: .........*(NumConst=43, SV=15, CEps=31.6621, QPEps=10.8387)
Iter 44: .........*(NumConst=44, SV=13, CEps=32.5886, QPEps=15.4194)
Iter 45: .........*(NumConst=45, SV=14, CEps=39.4985, QPEps=13.3214)
Iter 46: .........*(NumConst=46, SV=14, CEps=33.0215, QPEps=8.4524)
Iter 47: .........*(NumConst=47, SV=13, CEps=24.5578, QPEps=6.8503)
Iter 48: .........*(NumConst=48, SV=14, CEps=25.1837, QPEps=11.8754)
Iter 49: .........*(NumConst=49, SV=13, CEps=36.3405, QPEps=10.7095)
Iter 50: .........*(NumConst=50, SV=14, CEps=31.7627, QPEps=8.4286)
Iter 51: .........*(NumConst=51, SV=17, CEps=20.1125, QPEps=7.2063)
Iter 52: .........*(NumConst=52, SV=14, CEps=28.3577, QPEps=5.3400)
Iter 53: .........*(NumConst=53, SV=15, CEps=22.0151, QPEps=6.5345)
Iter 54: .........*(NumConst=54, SV=16, CEps=15.6021, QPEps=2.8436)
Iter 55: .........*(NumConst=55, SV=16, CEps=18.6055, QPEps=7.3461)
Iter 56: .........*(NumConst=55, SV=13, CEps=27.8086, QPEps=2.4084)
Iter 57: .........*(NumConst=56, SV=16, CEps=20.3388, QPEps=4.8104)
Iter 58: .........*(NumConst=56, SV=14, CEps=19.2577, QPEps=1.9206)
Iter 59: .........*(NumConst=57, SV=17, CEps=13.2609, QPEps=5.2406)
Iter 60: .........*(NumConst=58, SV=15, CEps=15.4313, QPEps=3.7351)
Iter 61: .........*(NumConst=59, SV=16, CEps=12.7271, QPEps=5.0750)
Iter 62: .........*(NumConst=59, SV=18, CEps=12.0978, QPEps=4.5236)
Iter 63: .........*(NumConst=59, SV=15, CEps=13.8510, QPEps=4.9183)
Iter 64: .........*(NumConst=59, SV=19, CEps=9.2163, QPEps=3.8360)
Iter 65: .........*(NumConst=59, SV=17, CEps=21.1802, QPEps=3.9948)
Iter 66: .........*(NumConst=58, SV=15, CEps=12.6669, QPEps=0.1227)
Iter 67: .........*(NumConst=59, SV=15, CEps=8.8049, QPEps=2.3904)
Iter 68: .........*(NumConst=60, SV=15, CEps=9.2652, QPEps=4.3878)
Iter 69: .........*(NumConst=60, SV=15, CEps=9.6929, QPEps=4.2210)
Iter 70: .........*(NumConst=61, SV=16, CEps=7.6424, QPEps=2.7310)
Iter 71: .........*(NumConst=62, SV=15, CEps=9.3763, QPEps=3.3287)
Iter 72: .........*(NumConst=63, SV=15, CEps=9.5282, QPEps=1.2117)
Iter 73: .........*(NumConst=63, SV=16, CEps=5.5045, QPEps=1.8228)
Iter 74: .........*(NumConst=63, SV=17, CEps=10.6317, QPEps=2.4465)
Iter 75: .........*(NumConst=63, SV=18, CEps=8.6299, QPEps=1.8492)
Iter 76: .........*(NumConst=63, SV=19, CEps=6.2297, QPEps=1.8630)
Iter 77: .........*(NumConst=64, SV=19, CEps=7.3124, QPEps=2.2652)
Iter 78: .........*(NumConst=62, SV=20, CEps=8.4882, QPEps=2.3809)
Iter 79: .........*(NumConst=62, SV=17, CEps=5.7307, QPEps=1.6189)
Iter 80: .........*(NumConst=62, SV=17, CEps=5.0926, QPEps=1.2953)
Iter 81: .........*(NumConst=61, SV=14, CEps=7.9886, QPEps=1.1858)
Iter 82: .........*(NumConst=62, SV=16, CEps=4.0347, QPEps=1.1778)
Iter 83: .........*(NumConst=62, SV=15, CEps=5.8303, QPEps=0.0000)
Iter 84: .........*(NumConst=63, SV=16, CEps=4.3568, QPEps=1.4860)
Iter 85: .........*(NumConst=64, SV=16, CEps=3.6861, QPEps=1.1536)
Iter 86: .........*(NumConst=63, SV=17, CEps=4.4954, QPEps=1.7711)
Iter 87: .........*(NumConst=64, SV=17, CEps=3.7307, QPEps=1.6333)
Iter 88: .........*(NumConst=62, SV=17, CEps=3.6621, QPEps=1.5830)
Iter 89: .........*(NumConst=63, SV=17, CEps=4.8751, QPEps=0.9880)
Iter 90: .........*(NumConst=62, SV=18, CEps=2.7234, QPEps=1.1799)
Iter 91: .........*(NumConst=63, SV=19, CEps=2.2000, QPEps=0.7346)
Iter 92: .........*(NumConst=64, SV=18, CEps=2.9238, QPEps=0.8056)
Iter 93: .........*(NumConst=64, SV=19, CEps=3.3957, QPEps=0.5207)
Iter 94: .........*(NumConst=64, SV=17, CEps=2.3669, QPEps=0.9955)
Iter 95: .........*(NumConst=65, SV=17, CEps=2.7093, QPEps=1.0836)
Iter 96: .........*(NumConst=66, SV=17, CEps=1.9065, QPEps=0.2026)
Iter 97: .........*(NumConst=67, SV=17, CEps=2.1936, QPEps=0.2090)
Iter 98: .........*(NumConst=67, SV=16, CEps=1.7855, QPEps=0.7791)
Iter 99: .........*(NumConst=68, SV=17, CEps=3.1248, QPEps=0.6969)
Iter 100: .........*(NumConst=69, SV=19, CEps=2.4793, QPEps=0.8546)
Iter 101: .........*(NumConst=67, SV=19, CEps=1.5100, QPEps=0.2583)
Iter 102: .........*(NumConst=68, SV=21, CEps=2.5696, QPEps=0.6948)
Iter 103: .........*(NumConst=69, SV=21, CEps=2.3128, QPEps=0.7451)
Iter 104: .........*(NumConst=69, SV=19, CEps=1.9574, QPEps=0.6283)
Iter 105: .........*(NumConst=67, SV=21, CEps=1.0717, QPEps=0.2647)
Iter 106: .........*(NumConst=68, SV=20, CEps=1.6508, QPEps=0.4844)
Iter 107: .........*(NumConst=68, SV=21, CEps=1.4713, QPEps=0.4067)
Iter 108: .........*(NumConst=69, SV=21, CEps=1.3564, QPEps=0.4133)
Iter 109: .........*(NumConst=68, SV=22, CEps=1.2828, QPEps=0.3943)
Iter 110: .........*(NumConst=68, SV=21, CEps=1.0543, QPEps=0.2091)
Iter 111: .........*(NumConst=69, SV=22, CEps=1.1313, QPEps=0.0000)
Iter 112: .........(NumConst=69, SV=22, CEps=0.7330, QPEps=0.0000)
Final epsilon on KKT-Conditions: 0.73298
Upper bound on duality gap: 0.07330
Dual objective value: dval=58.47785
Primal objective value: pval=58.55115
Total number of constraints in final working set: 69 (of 111)
Number of iterations: 112
Number of calls to 'find_most_violated_constraint': 20160
Number of SV: 22 
Norm of weight vector: |w|=1.66324
Value of slack variable (on working set): xi=570.94673
Value of slack variable (global): xi=571.67968
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=2783.76879
Runtime in cpu-seconds: 0.93
Compacting linear model...done
Writing learned model...done